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Jean-Philippe Thiran

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Related publications (496)

A Scale-Space of Cortical Feature Maps

In this paper we define a scale-space for cortical mean curvature maps on the sphere, that offers a hierarchical representation of the brain cortical structures, useful in multi-scale registration and analysis algorithms. A spherical feature map is obtaine ...

IEEE Institute of Electrical and Electronics Engineers2009

Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection

Valérie Duay, Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

This paper presents automated segmentation of structures in the Head and Neck (H&N) region, using an active contour-based joint registration and segmentation model. A new atlas selection strategy is also used. Segmentation is performed based on the dense ...

2009

Patient specific evaluation of the volume of tissue influenced by subthalamic nucleus (STN) deep brain stimulation (DBS) for Parkinson's Disease (PD)

Juan Ramon Mosig, Jean-Philippe Thiran, Grégoire Walckiers

2009

Automatic quality assessment in structural brain magnetic resonance imaging

Jean-Philippe Thiran, Reto Meuli, Bénédicte Marie Maréchal, Gunnar Krüger

MRI has evolved into an important diagnostic technique in medical imaging. However, reliability of the derived diagnosis can be degraded by artifacts, which challenge both radiologists and automatic computer-aided diagnosis. This work proposes a fully-auto ...

Wiley2009

Multimodal Speaker Localization from Omnidirectional Videos

Jean-Philippe Thiran, Mihai Gurban, Pascal Reuse

The use of omnidirectional cameras for videoconferencing promises to simplify the hardware setup necessary for large groups of participants. We investigate the use of a multimodal speaker detection algorithm on audio-visual sequences captured with such a c ...

2009

Predicting Resting-State Functional Connectivity from Structural Connectivity

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

2009

Sequential Anisotropic Multichannel Wiener Filtering with Rician Bias Correction Applied to 3D Regularization of DWI Data

Jean-Philippe Thiran, Leila Cammoun

It has been shown that the tensor calculation is very sensitive to the presence of noise in the acquired images, yielding to very low-quality Diffusion Tensor Images (DTI) data. Recent investigations have shown that the noise present in the Diffusion Weigh ...

2009

Methods for Determining Frequency- and Region-Dependent Relationships Between Estimated LFPs and BOLD Responses in Humans

Jean-Philippe Thiran, Roberto Martuzzi

The relationship between electrophysiological and functional magnetic resonance imaging (fMRI) signals remains poorly understood. To date, studies have required invasive methods and have been limited to single functional regions and thus cannot account for ...

2009

Model-based Segmentation and Image Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

Jean-Philippe Thiran, Alessia Pica, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

For radiotherapy treatment planning of retinoblastoma in childhood, Computed Tomography (CT) represents the standard method for tumor volume delineation, despite some inherent limitations. CT scan is very useful in providing information on physical density ...

2009

Cooperative Object Segmentation and Behavior Inference in Image Sequences

Jean-Philippe Thiran, Laura Ioana Gui

In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior inference over an image sequence. This approach is beneficial for both tasks, since it enables them to cooperate so that knowledge relevant to eac ...

2009

Brain tissue segmentation of fetal MR images

Jean-Philippe Thiran, Meritxell Bach Cuadra

We present a segmentation method for fetal brain tissues of T2w MR images, based on the well known Expectation Maximization Markov Random Field (EM- MRF) scheme. Our main contribution is an intensity model composed of 7 Gaussian distribution designed to de ...

2009

Semi-Supervised Segmentation based on Non-local Continuous Min-Cut

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentation process is performed via energy minimization. The proposed energy is comp ...

Springer2009

Automatic quality assessment in structural brain magnetic resonance imaging

Jean-Philippe Thiran, Reto Meuli, Bénédicte Marie Maréchal, Gunnar Krüger

Quality assessment of MRI is of great importance to derive reliable diagnostic information. As automated quantitative image analysis is being increasingly used in routine, automated measures of quality are needed. Based on a single magnitude image, we prop ...

2009

Local landmark-based registration for fMRI group studies of nonprimary auditory cortex

Jean-Philippe Thiran, Ruth Campos Casillas, Reto Meuli, Dragana Viceic

Interindividual functional and structural brain variability is a major problem in group studies, in which very focal activations are expected. Architectonic studies have shown that the human primary auditory area, which is located with a great constancy on ...

2009

Information theoretic feature extraction for audio-visual speech recognition

Jean-Philippe Thiran, Mihai Gurban

The problem of feature selection has been thoroughly analyzed in the context of pattern classification, with the purpose of avoiding the curse of dimensionality. However, in the context of multimodal signal processing, this problem has been studied less. O ...

2009

Predicting Human Resting-State Functional Connectivity from structural Connectivity

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

In the cerebral cortex, the activity levels of neuronal populations are continuously fluctuating. When neuronal activity, as measured using functional MRI (fMRI), is temporally coherent across 2 populations, those populations are said to be functionally co ...

2009

Selecting relevant visual features for speechreading

Jean-Philippe Thiran, Mihai Gurban, Virginia Estellers Casas

A quantitative measure of relevance is proposed for the task of constructing visual feature sets which are at the same time relevant and compact. A feature's relevance is given by the amount of information that it contains about the problem, while compactn ...

2009

Fast Texture Segmentation Based on Semi-local Region Descriptor and Active Contour

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

In this paper, we present an efficient approach for unsupervised segmentation of natural and textural images based on the extraction of image features and a fast active contour segmentation model. We address the problem of textures where neither the gray-l ...

2009

Congenital heart disease affects local gyrification in 22q11.2 deletion syndrome

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer

22q11.2 deletion syndrome (22q11.2DS) is a common genetic condition associated with cognitive and learning impairments. In this study, we applied a threedimensional method for quantifying gyrification at thousands of points over the cortical surface to ima ...

Wiley-Blackwell2009

Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information

Jean-Philippe Thiran

IEEE2009

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